Ai ml api

Learn how to use Ai ml api with Composio

Overview

SLUG: AI_ML_API

Description

AI/ML API provides a suite of AI models and solutions for various tasks, including text generation, image processing, and more.

Authentication Details

generic_api_key
stringRequired

Connecting to Ai ml api

Create an auth config

Use the dashboard to create an auth config for the Ai ml api toolkit. This allows you to connect multiple Ai ml api accounts to Composio for agents to use.

1

Select App

Navigate to the [Ai ml api toolkit page](https://app.composio.dev/apps/Ai ml api) and click “Setup Integration”.

2

Configure Auth Config Settings

Select among the supported auth schemes of and configure them here.

3

Create and Get auth config ID

Click “Create Integration”. After creation, copy the displayed ID starting with ac_. This is your auth config ID. This is not a sensitive ID — you can save it in environment variables or a database. This ID will be used to create connections to the toolkit for a given user.

Connect Your Account

Using API Key

1from composio import Composio
2from composio.types import auth_scheme
3
4# Replace these with your actual values
5ai_ml_api_auth_config_id = "ac_YOUR_AI_ML_API_CONFIG_ID" # Auth config ID created above
6user_id = "0000-0000-0000" # UUID from database/app
7
8composio = Composio()
9
10def authenticate_toolkit(user_id: str, auth_config_id: str):
11 # Replace this with a method to retrieve an API key from the user.
12 # Or supply your own.
13 user_api_key = input("[!] Enter API key")
14
15 connection_request = composio.connected_accounts.initiate(
16 user_id=user_id,
17 auth_config_id=auth_config_id,
18 config={"auth_scheme": "API_KEY", "val": user_api_key}
19 )
20
21 # API Key authentication is immediate - no redirect needed
22 print(f"Successfully connected Ai ml api for user {user_id}")
23 print(f"Connection status: {connection_request.status}")
24
25 return connection_request.id
26
27
28connection_id = authenticate_toolkit(user_id, ai_ml_api_auth_config_id)
29
30# You can verify the connection using:
31connected_account = composio.connected_accounts.get(connection_id)
32print(f"Connected account: {connected_account}")

Tools

Executing tools

To prototype you can execute some tools to see the responses and working on the [Ai ml api toolkit’s playground](https://app.composio.dev/app/Ai ml api)

Python
1from composio import Composio
2from openai import OpenAI
3import json
4
5openai = OpenAI()
6composio = Composio()
7
8# User ID must be a valid UUID format
9user_id = "0000-0000-0000" # Replace with actual user UUID from your database
10
11tools = composio.tools.get(user_id=user_id, toolkits=["AI_ML_API"])
12
13print("[!] Tools:")
14print(json.dumps(tools))
15
16def invoke_llm(task = "What can you do?"):
17 completion = openai.chat.completions.create(
18 model="gpt-4o",
19 messages=[
20 {
21 "role": "user",
22 "content": task, # Your task here!
23 },
24 ],
25 tools=tools,
26 )
27
28 # Handle Result from tool call
29 result = composio.provider.handle_tool_calls(user_id=user_id, response=completion)
30 print(f"[!] Completion: {completion}")
31 print(f"[!] Tool call result: {result}")
32
33invoke_llm()

Tool List

Tool Name: Moderation Completion

Description

Tool to classify input text or image for safety using a moderation model. use after receiving user-generated content to filter out unsafe material.

Action Parameters

input
stringRequired
model
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Text Chat Completion

Description

Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.

Action Parameters

frequency_penalty
number
logit_bias
object
max_tokens
integer
messages
arrayRequired
model
stringRequired
n
integerDefaults to 1
presence_penalty
number
stop
array
stream
boolean
temperature
numberDefaults to 1
top_p
numberDefaults to 1
user
string

Action Response

data
objectRequired
error
string
successful
booleanRequired